Gene expression profiles to predict recurrence in stage II and III colon cancer

ABSTRACT: Purpose: The present study aimed to develop a classification model to predict recurrence in stage II and III colon cancer, using a previously published 128-gene signature on external and independent material. Experimental Design: Microarray gene expression data from 148 patients (37 Danish patients and 111 patients retrieved from the Gene Expression Omnibus, GSE17536) with stage II and III colon cancer were analyzed using Affymetrix Arrays (Affymetrix, Santa Clara, USA). Based on a known 128-gene signature, a classification model was created with the random forest method, using a training set consisting of stage I colon cancers (with localized disease and a good prognosis) and stage IV colon cancers (with metastasis and a poor prognosis). The classifier were built to predict stage II and

ORGANISM(S): Homo sapiens

SUBMITTER: Morten Thorsteinsson 

PROVIDER: E-GEOD-31595 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress